Arbeitspapier

Big Data and Happiness

The pursuit of happiness. What does that mean? Perhaps a more prominent question to ask is, 'how does one know whether people have succeeded in their pursuit'? Survey data, thus far, has served us well in determining where people see themselves on their journey. However, in an everchanging world, one needs high-frequency data instead of data released with significant time-lags. High-frequency data, which stems from Big Data, allows policymakers access to virtually real-time information that can assist in effective decision-making to increase the quality of life for all. Additionally, Big Data collected from, for example, social media platforms give researchers unprecedented insight into human behaviour, allowing significant future predictive powers.

Sprache
Englisch

Erschienen in
Series: GLO Discussion Paper ; No. 634

Klassifikation
Wirtschaft
Data Collection and Data Estimation Methodology; Computer Programs: Other Computer Software
General Welfare; Well-Being
Welfare, Well-Being, and Poverty: Other
Demographic Economics: Public Policy
Thema
Happiness
Big Data
Sentiment analysis

Ereignis
Geistige Schöpfung
(wer)
Rossouw, Stephanie
Greyling, Talita
Ereignis
Veröffentlichung
(wer)
Global Labor Organization (GLO)
(wo)
Essen
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Rossouw, Stephanie
  • Greyling, Talita
  • Global Labor Organization (GLO)

Entstanden

  • 2020

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